{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "企业商品价格指数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            月份  总指数-指数值  总指数-同比增长  总指数-环比增长  农产品-指数值   农产品-同比增长  农产品-环比增长  \\\n",
      "0    2025年05月份    96.80 -2.713568 -0.819672    98.40   0.716479 -0.806452   \n",
      "1    2025年04月份    97.60 -0.610998 -0.509684    99.20   1.639344  1.431493   \n",
      "2    2025年03月份    98.10  0.409417  0.000000    97.80   1.137539  1.137539   \n",
      "3    2025年02月份    98.10  0.306748 -0.304878    96.70  -1.926978 -4.257426   \n",
      "4    2025年01月份    98.40  0.613497  0.101729   101.00   7.332625  1.609658   \n",
      "..         ...      ...       ...       ...      ...        ...       ...   \n",
      "240  2005年05月份   103.16 -5.738304  0.340434   100.88 -14.761301 -0.561853   \n",
      "241  2005年04月份   102.81 -5.903350 -0.647468   101.45 -13.290598 -2.150849   \n",
      "242  2005年03月份   103.48 -4.485878 -1.278382   103.68  -9.386471 -3.928836   \n",
      "243  2005年02月份   104.82 -2.046538  0.143308   107.92  -2.871029  1.600452   \n",
      "244  2005年01月份   104.67 -1.957662 -0.626602   106.22  -3.864603 -0.018825   \n",
      "\n",
      "     矿产品-指数值  矿产品-同比增长  矿产品-环比增长  煤油电-指数值   煤油电-同比增长  煤油电-环比增长  \n",
      "0     102.80 -5.340700 -1.720841    91.60  -7.939698 -1.293103  \n",
      "1     104.60 -0.759013 -0.570342    92.80  -5.015353 -1.694915  \n",
      "2     105.20  0.190476  1.544402    94.40  -2.880658 -1.564129  \n",
      "3     103.60 -3.358209  3.187251    95.90  -0.724638 -0.311850  \n",
      "4     100.40 -9.467989 -1.083744    96.20  -0.310881  0.627615  \n",
      "..       ...       ...       ...      ...        ...       ...  \n",
      "240   110.27 -5.404478  0.758406   122.53  11.168572  1.625612  \n",
      "241   109.44 -6.325430 -0.761698   120.57  12.640135  0.920733  \n",
      "242   110.28 -4.378739 -0.854086   119.47  14.292548  0.538585  \n",
      "243   111.23 -2.017266 -3.971337   118.83  13.974679  2.590003  \n",
      "244   115.83  6.227073  1.170408   115.83   8.903723 -1.814021  \n",
      "\n",
      "[245 rows x 13 columns]\n"
     ]
    }
   ],
   "source": [
    "import akshare as ak\n",
    "\n",
    "macro_china_qyspjg_df = ak.macro_china_qyspjg()\n",
    "print(macro_china_qyspjg_df)"
   ]
  }
 ],
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